Tag
#MIT Schwarzman College of Computing
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New method assesses and improves the reliability of radiologists’ diagnostic reports
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Researchers teach LLMs to solve complex planning challenges
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For this computer scientist, MIT Open Learning was the start of a life-changing journey
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MIT Maritime Consortium sets sail
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AI tool generates high-quality images faster than state-of-the-art approaches
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Robotic helper making mistakes? Just nudge it in the right direction
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Markus Buehler receives 2025 Washington Award
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Like human brains, large language models reason about diverse data in a general way
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AI model deciphers the code in proteins that tells them where to go
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Gift from Sebastian Man ’79, SM ’80 supports MIT Stephen A. Schwarzman College of Computing building
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Can deep learning transform heart failure prevention?
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Creating a common language
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Validation technique could help scientists make more accurate forecasts
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User-friendly system can help developers build more efficient simulations and AI models
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3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities
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Expanding robot perception
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Toward video generative models of the molecular world
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Explained: Generative AI’s environmental impact
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Teaching AI to communicate sounds like humans do
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Ecologists find computer vision models’ blind spots in retrieving wildlife images
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MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
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Lara Ozkan named 2025 Marshall Scholar
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Teaching a robot its limits, to complete open-ended tasks safely
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AI in health should be regulated, but don’t forget about the algorithms, researchers say
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Researchers reduce bias in AI models while preserving or improving accuracy
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Enabling AI to explain its predictions in plain language
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Daniela Rus wins John Scott Award
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Citation tool offers a new approach to trustworthy AI-generated content
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MIT delegation mainstreams biodiversity conservation at the UN Biodiversity Convention, COP16
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A new way to create realistic 3D shapes using generative AI
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Photonic processor could enable ultrafast AI computations with extreme energy efficiency
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Improving health, one machine learning system at a time
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MIT researchers develop an efficient way to train more reliable AI agents
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Advancing urban tree monitoring with AI-powered digital twins
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Can robots learn from machine dreams?
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3 Questions: Inverting the problem of design
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A causal theory for studying the cause-and-effect relationships of genes
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A portable light system that can digitize everyday objects
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Nanoscale transistors could enable more efficient electronics
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A faster, better way to train general-purpose robots
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Making it easier to verify an AI model’s responses
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Combining next-token prediction and video diffusion in computer vision and robotics
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How AI is improving simulations with smarter sampling techniques
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AI pareidolia: Can machines spot faces in inanimate objects?
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Helping robots zero in on the objects that matter
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New security protocol shields data from attackers during cloud-based computation
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3 Questions: Should we label AI systems like we do prescription drugs?
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Study: AI could lead to inconsistent outcomes in home surveillance
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Enhancing LLM collaboration for smarter, more efficient solutions
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A fast and flexible approach to help doctors annotate medical scans
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A framework for solving parabolic partial differential equations
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LLMs develop their own understanding of reality as their language abilities improve
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MIT researchers use large language models to flag problems in complex systems
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Helping robots practice skills independently to adapt to unfamiliar environments
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Precision home robots learn with real-to-sim-to-real
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Method prevents an AI model from being overconfident about wrong answers
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Study: When allocating scarce resources with AI, randomization can improve fairness
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MIT researchers advance automated interpretability in AI models
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AI model identifies certain breast tumor stages likely to progress to invasive cancer
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Creating and verifying stable AI-controlled systems in a rigorous and flexible way
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AI method radically speeds predictions of materials’ thermal properties
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How to assess a general-purpose AI model’s reliability before it’s deployed
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Marking a milestone: Dedication ceremony celebrates the new MIT Schwarzman College of Computing building
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Reasoning skills of large language models are often overestimated
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When to trust an AI model
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MIT researchers introduce generative AI for databases
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Helping nonexperts build advanced generative AI models
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MIT-Takeda Program wraps up with 16 publications, a patent, and nearly two dozen projects completed
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Understanding the visual knowledge of language models
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A smarter way to streamline drug discovery
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Technique improves the reasoning capabilities of large language models
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Researchers use large language models to help robots navigate
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New algorithm discovers language just by watching videos
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A technique for more effective multipurpose robots
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Looking for a specific action in a video? This AI-based method can find it for you
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Controlled diffusion model can change material properties in images
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2024 MAD Design Fellows announced
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